{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [使用matplotlib展示数据](04.00-Introduction-To-Matplotlib.ipynb) | [目录](Index.ipynb) | [简单的散点图](04.02-Simple-Scatter-Plots.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.01-Simple-Line-Plots.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Line Plots\n",
    "\n",
    "# 简单的折线图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Perhaps the simplest of all plots is the visualization of a single function $y = f(x)$.\n",
    "Here we will take a first look at creating a simple plot of this type.\n",
    "As with all the following sections, we'll start by setting up the notebook for plotting and  importing the packages we will use:\n",
    "\n",
    "对于图表来说，最简单的莫过于作出一个单一函数$y=f(x)$的图像。本节中我们首先来介绍创建这种类型图表。本节和后续小节中，我们都会使用下面的代码将我们需要的包载入到notebook中："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> For all Matplotlib plots, we start by creating a figure and an axes.\n",
    "In their simplest form, a figure and axes can be created as follows:\n",
    "\n",
    "对于所有的Matplotlib图表来说，我们都需要从创建图形和维度开始。图形和维度可以使用下面代码进行最简形式的创建："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.axes()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> In Matplotlib, the *figure* (an instance of the class ``plt.Figure``) can be thought of as a single container that contains all the objects representing axes, graphics, text, and labels.\n",
    "The *axes* (an instance of the class ``plt.Axes``) is what we see above: a bounding box with ticks and labels, which will eventually contain the plot elements that make up our visualization.\n",
    "Throughout this book, we'll commonly use the variable name ``fig`` to refer to a figure instance, and ``ax`` to refer to an axes instance or group of axes instances.\n",
    "\n",
    "在Matplotlib中，*图形*（类`plt.Figure`的一个实例）可以被认为是一个包括所有维度、图像、文本和标签对象的容器。*维度*（类`plt.Axes`的一个实例）就是你上面看到的图像，一个有边界的格子包括刻度和标签，最终还有我们画在上面的图表元素。在本书中，我们会使用变量名`fig`来指代图形对象，以及变量名`ax`来指代维度变量。\n",
    "\n",
    "> Once we have created an axes, we can use the ``ax.plot`` function to plot some data. Let's start with a simple sinusoid:\n",
    "\n",
    "一旦我们创建了维度，我们可以使用`ax.plot`方法将数据绘制在图表上。下面是一个简单的正弦函数图形："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = plt.axes()\n",
    "\n",
    "x = np.linspace(0, 10, 1000)\n",
    "ax.plot(x, np.sin(x));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Alternatively, we can use the pylab interface and let the figure and axes be created for us in the background\n",
    "(see [Two Interfaces for the Price of One](04.00-Introduction-To-Matplotlib.ipynb#Two-Interfaces-for-the-Price-of-One) for a discussion of these two interfaces):\n",
    "\n",
    "同样的，我们可以使用pylab接口（MATLAB风格的接口）帮我们在后台自动创建这两个对象："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> If we want to create a single figure with multiple lines, we can simply call the ``plot`` function multiple times:\n",
    "\n",
    "如果我们需要在同一幅图形中绘制多根线条，只需要多次调用`plot`函数即可："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.plot(x, np.cos(x));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> That's all there is to plotting simple functions in Matplotlib!\n",
    "We'll now dive into some more details about how to control the appearance of the axes and lines.\n",
    "\n",
    "这就是在Matplotlib中绘制简单函数图像的所有接口了。下面我们深入了解一下控制坐标轴和线条外观的细节。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adjusting the Plot: Line Colors and Styles\n",
    "\n",
    "## 调整折线图：线条颜色和风格"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The first adjustment you might wish to make to a plot is to control the line colors and styles.\n",
    "The ``plt.plot()`` function takes additional arguments that can be used to specify these.\n",
    "To adjust the color, you can use the ``color`` keyword, which accepts a string argument representing virtually any imaginable color.\n",
    "The color can be specified in a variety of ways:\n",
    "\n",
    "你可能第一个想到需要进行调整的部分就是线条的颜色和风格。`plt.plot()`函数接受额外的参数可以用来指定它们。通过指定`color`关键字参数可以调整颜色，这个字符串类型参数基本上能用来代表任何你能想到的颜色。可以通过多种方式指定颜色参数：\n",
    "\n",
    "译者注：所有HTML颜色名称可以在[这里](https://www.w3schools.com/colors/colors_names.asp)找到。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x - 0), color='blue')        # 通过颜色名称指定\n",
    "plt.plot(x, np.sin(x - 1), color='g')           # 通过颜色简写名称指定(rgbcmyk)\n",
    "plt.plot(x, np.sin(x - 2), color='0.75')        # 介于0-1之间的灰阶值\n",
    "plt.plot(x, np.sin(x - 3), color='#FFDD44')     # 16进制的RRGGBB值\n",
    "plt.plot(x, np.sin(x - 4), color=(1.0,0.2,0.3)) # RGB元组的颜色值，每个值介于0-1\n",
    "plt.plot(x, np.sin(x - 5), color='chartreuse'); # 能支持所有HTML颜色名称值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> If no color is specified, Matplotlib will automatically cycle through a set of default colors for multiple lines.\n",
    "\n",
    "如果没有指定颜色，Matplotlib会在一组默认颜色值中循环使用来绘制每一条线条。\n",
    "\n",
    "> Similarly, the line style can be adjusted using the ``linestyle`` keyword:\n",
    "\n",
    "类似的，通过`linestyle`关键字参数可以指定线条的风格："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, x + 0, linestyle='solid')\n",
    "plt.plot(x, x + 1, linestyle='dashed')\n",
    "plt.plot(x, x + 2, linestyle='dashdot')\n",
    "plt.plot(x, x + 3, linestyle='dotted');\n",
    "\n",
    "# 还可以用形象的符号代表线条风格\n",
    "plt.plot(x, x + 4, linestyle='-')  # 实线\n",
    "plt.plot(x, x + 5, linestyle='--') # 虚线\n",
    "plt.plot(x, x + 6, linestyle='-.') # 长短点虚线\n",
    "plt.plot(x, x + 7, linestyle=':');  # 点线"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> If you would like to be extremely terse, these ``linestyle`` and ``color`` codes can be combined into a single non-keyword argument to the ``plt.plot()`` function:\n",
    "\n",
    "如果你喜欢更简洁的代码，这些`linestyle`和`color`参数能够合并成一个非关键字参数，传递给`plt.plot()`函数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, x + 0, '-g')  # 绿色实线\n",
    "plt.plot(x, x + 1, '--c') # 天青色虚线\n",
    "plt.plot(x, x + 2, '-.k') # 黑色长短点虚线\n",
    "plt.plot(x, x + 3, ':r');  # 红色点线"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> These single-character color codes reflect the standard abbreviations in the RGB (Red/Green/Blue) and CMYK (Cyan/Magenta/Yellow/blacK) color systems, commonly used for digital color graphics.\n",
    "\n",
    "上面的单字母颜色码是RGB颜色系统以及CMYK颜色系统的缩写，被广泛应用在数字化图像的颜色系统中。\n",
    "\n",
    "> There are many other keyword arguments that can be used to fine-tune the appearance of the plot; for more details, I'd suggest viewing the docstring of the ``plt.plot()`` function using IPython's help tools (See [Help and Documentation in IPython](01.01-Help-And-Documentation.ipynb)).\n",
    "\n",
    "还有很多其他的关键字参数可以对折线图的外观进行精细调整；可以通过在IPython中使用帮助工具（参见[IPython的帮助和文档](01.01-Help-And-Documentation.ipynb)）查看`plt.plot()`函数的文档来获得更多细节内容。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adjusting the Plot: Axes Limits\n",
    "\n",
    "## 调整折线图：坐标轴范围\n",
    "\n",
    "> Matplotlib does a decent job of choosing default axes limits for your plot, but sometimes it's nice to have finer control.\n",
    "The most basic way to adjust axis limits is to use the ``plt.xlim()`` and ``plt.ylim()`` methods:\n",
    "\n",
    "Matplotlib会自动选择非常合适的坐标轴范围来绘制你的图像，但是有些情况下你也需要自己进行相关调整。使用`plt.xlim()`和`plt.ylim()`函数可以调整坐标轴的范围："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "\n",
    "plt.xlim(-1, 11)\n",
    "plt.ylim(-1.5, 1.5);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> If for some reason you'd like either axis to be displayed in reverse, you can simply reverse the order of the arguments:\n",
    "\n",
    "如果某些情况下你希望将坐标轴反向，你可以通过上面的函数实现，将参数顺序颠倒即可："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "\n",
    "plt.xlim(10, 0)\n",
    "plt.ylim(1.2, -1.2);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> A useful related method is ``plt.axis()`` (note here the potential confusion between *axes* with an *e*, and *axis* with an *i*).\n",
    "The ``plt.axis()`` method allows you to set the ``x`` and ``y`` limits with a single call, by passing a list which specifies ``[xmin, xmax, ymin, ymax]``:\n",
    "\n",
    "相关的函数还有`plt.axis()`（注意：这不是`plt.axes()`函数，函数名称是i而不是e）。这个函数可以在一个函数调用中就完成x轴和y轴范围的设置，传递一个`[xmin, xmax, ymin, ymax]`的列表参数即可："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.axis([-1, 11, -1.5, 1.5]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The ``plt.axis()`` method goes even beyond this, allowing you to do things like automatically tighten the bounds around the current plot:\n",
    "\n",
    "当然`plt.axis()`函数不仅能设置范围，还能像下面代码一样将坐标轴压缩到刚好足够绘制折线图像的大小："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.axis('tight');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> It allows even higher-level specifications, such as ensuring an equal aspect ratio so that on your screen, one unit in ``x`` is equal to one unit in ``y``:\n",
    "\n",
    "还可以通过设置`'equal'`参数设置`x`轴与`y`轴使用相同的长度单位："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.axis('equal');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> For more information on axis limits and the other capabilities of the ``plt.axis`` method, refer to the ``plt.axis`` docstring.\n",
    "\n",
    "更多关于设置axis属性的内容请查阅`plt.axis`函数的文档字符串。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Labeling Plots\n",
    "\n",
    "## 折线图标签\n",
    "\n",
    "> As the last piece of this section, we'll briefly look at the labeling of plots: titles, axis labels, and simple legends.\n",
    "\n",
    "本节最后介绍一下在折线图上绘制标签：标题、坐标轴标签和简单的图例。\n",
    "\n",
    "> Titles and axis labels are the simplest such labels—there are methods that can be used to quickly set them:\n",
    "\n",
    "标题和坐标轴标签是最简单的这类标签，Matplotlib提供了函数用来方便的设置它们："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x))\n",
    "plt.title(\"A Sine Curve\")\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"sin(x)\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The position, size, and style of these labels can be adjusted using optional arguments to the function.\n",
    "For more information, see the Matplotlib documentation and the docstrings of each of these functions.\n",
    "\n",
    "这些标签的位置、大小和风格可以通过上面函数的可选参数进行设置。参阅Matplotlib在线文档和这些函数的文档字符串可以获得更多的信息。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> When multiple lines are being shown within a single axes, it can be useful to create a plot legend that labels each line type.\n",
    "Again, Matplotlib has a built-in way of quickly creating such a legend.\n",
    "It is done via the (you guessed it) ``plt.legend()`` method.\n",
    "Though there are several valid ways of using this, I find it easiest to specify the label of each line using the ``label`` keyword of the plot function:\n",
    "\n",
    "当一幅图中绘制了多条折线时，如果能够绘制一个线条对应的图例能让图表更加清晰。Matplotlib也内建了函数来快速创建图例。估计你也猜到了，通过`plt.legend()`函数可以实现这个需求。虽然有很多种正确的方法来指定图例，作者认为最简单的方法是通过在绘制每条线条时指定对应的`label`关键字参数来使用这个函数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, np.sin(x), '-g', label='sin(x)')\n",
    "plt.plot(x, np.cos(x), ':b', label='cos(x)')\n",
    "plt.axis('equal')\n",
    "\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> As you can see, the ``plt.legend()`` function keeps track of the line style and color, and matches these with the correct label.\n",
    "More information on specifying and formatting plot legends can be found in the ``plt.legend`` docstring; additionally, we will cover some more advanced legend options in [Customizing Plot Legends](04.06-Customizing-Legends.ipynb).\n",
    "\n",
    "上图可见，`plt.legend()`函数绘制的图例线条与图中的折线无论风格和颜色都保持一致。查阅`plt.legend`文档字符串可以获得更多相关信息；我们在[自定义图表图例](04.06-Customizing-Legends.ipynb)一节中也会讨论更高级的图例应用。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Aside: Matplotlib Gotchas\n",
    "\n",
    "## 额外内容：Matplotlib的坑\n",
    "\n",
    "> While most ``plt`` functions translate directly to ``ax`` methods (such as ``plt.plot()`` → ``ax.plot()``, ``plt.legend()`` → ``ax.legend()``, etc.), this is not the case for all commands.\n",
    "In particular, functions to set limits, labels, and titles are slightly modified.\n",
    "For transitioning between MATLAB-style functions and object-oriented methods, make the following changes:\n",
    "\n",
    "虽然大多数的`plt`函数都可以直接转换为`ax`的方法进行调用（例如`plt.plot()` → `ax.plot()`，`plt.legend()` → `ax.legend()`等），但是并不是所有的命令都能应用这种情况。特别是用于设置极值、标签和标题的函数都有一定的改变。下表列出了将MATLAB风格的函数转换为面向对象的方法的区别：\n",
    "\n",
    "- ``plt.xlabel()``  → ``ax.set_xlabel()``\n",
    "- ``plt.ylabel()`` → ``ax.set_ylabel()``\n",
    "- ``plt.xlim()``  → ``ax.set_xlim()``\n",
    "- ``plt.ylim()`` → ``ax.set_ylim()``\n",
    "- ``plt.title()`` → ``ax.set_title()``\n",
    "\n",
    "> In the object-oriented interface to plotting, rather than calling these functions individually, it is often more convenient to use the ``ax.set()`` method to set all these properties at once:\n",
    "\n",
    "在面向对象接口中，与其逐个调用上面的方法来设置属性，更常见的使用`ax.set()`方法来一次性设置所有的属性："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes()\n",
    "ax.plot(x, np.sin(x))\n",
    "ax.set(xlim=(0, 10), ylim=(-2, 2),\n",
    "       xlabel='x', ylabel='sin(x)',\n",
    "       title='A Simple Plot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [使用matplotlib展示数据](04.00-Introduction-To-Matplotlib.ipynb) | [目录](Index.ipynb) | [简单的散点图](04.02-Simple-Scatter-Plots.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/wangyingsm/Python-Data-Science-Handbook/blob/master/notebooks/04.01-Simple-Line-Plots.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
